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Transformers provides thousands of pretrained models to perform tasks on different modalities such as text, vision, and audio. These models can be applied on: - 📝 Text, for tasks like text classification, information extraction, question answering, summarization, translation, text generation, in over 100 languages. - 🖼️ Images, for tasks like image classification, object detection, and segmentation. - 🗣️ Audio, for tasks like speech recognition and audio classification. Transformer models can also perform tasks on several modalities combined, such as table question answering, optical character recognition, information extraction from scanned documents, video classification, and visual question answering.

Uploaded Tue Apr 1 00:34:46 2025
md5 checksum b3f05e0b9e77b9fec396fcf7e9b78fbb
arch x86_64
build py311h06a4308_0
constrains keras-nlp >=0.3.1, GitPython <3.1.19, pyctcdecode >=0.4.0, tensorflow >=2.6,<2.16, ruff ==0.1.5, ipadic >=1.0.0,<2.0, sagemaker >=2.31.0, accelerate >=0.21.0, unidic >=1.0.2, urllib3 <2.0.0, sentencepiece >=0.1.91,!=0.1.92, tensorflow-text <2.16, onnxruntime-tools >=1.4.2, codecarbon ==1.2.0, cookiecutter ==1.7.3, deepspeed >=0.9.3, jaxlib >=0.4.1,<=0.4.13, ray-tune >=2.7.0, sudachidict_core >=20220729, av ==9.2.0, onnxruntime >=1.4.0, fsspec <2023.10.0, decord ==0.6.0, isort >=5.5.4, jax >=0.4.1,<=0.4.13, rhoknp >=1.1.0,<1.3.1, datasets !=2.5.0, hf-doc-builder >=0.3.0, optax >=0.0.8,<=0.1.4, sudachipy >=0.6.6, unidic_lite >=1.0.7, pillow >=10.0.1,<=15.0, fugashi >=1.0, flax >=0.4.1,<=0.7.0, keras <2.16, natten >=0.14.6,<0.15.0, tensorflow-cpu >=2.6,<2.16
depends filelock, huggingface_hub >=0.19.3,<1, numpy >=1.17, packaging >=20.0, python >=3.11,<3.12.0a0, pyyaml >=5.1, regex !=2019.12.17, requests, safetensors >=0.4.1, tokenizers >=0.19,<0.20, tqdm >=4.27
license Apache-2.0
license_family Apache
md5 b3f05e0b9e77b9fec396fcf7e9b78fbb
name transformers
platform linux
sha1 6a5d745c923bb543a37ec40b478c21a3e4baa3b7
sha256 fc78eb8b19a81731b0371b566a1471298adde99a28e09449ca5d38f03925ccce
size 11138489
subdir linux-64
timestamp 1732653795908
version 4.40.2